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Your Job: In this Master’s thesis, you will investigate the impact of different programming algorithms on the stability of resistance states using a sophisticated 3D Kinetic Monte Carlo (KMC) model
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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
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finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 days ago
finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation # Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image
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provided materials with highly-sensitive electronic characterziation methods, and will be complemented by an numerical analysis using state-of-the-art drift-diffusion and kinetic Monte-Carlo simulations
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interfaces under reaction conditions, using machine-learned interatomic potentials (MLIPs) for automatic reaction network exploration for catalyst dynamics, and developing the next generation of kinetic Monte
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, renormalization group techniques or Monte-Carlo methods. Investigating topological properties of magnetic quantum states such as fractional quasiparticle excitations in spin liquids. Transferring the obtained
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-edge microscopy method. Job description: We are looking for a student assistant (m/f/d) for the development of deep learning methods for quantum chemistry calculations using quantum Monte Carlo. In
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Monte Carlo simulations of detector configurations and beam interaction. Execution of hands-on laboratory work, including test beam experiments, small-scale detector repairs, and electronics
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, execution and analysis of three cooperative sub-projects within the FADOS network: The development of kinetic Monte-Carlo algorithms with realistic working parameters which account for inhomogeneous and